Chandra Kanth Nagesh

Comp-Sci Doctoral Student @ University of Colorado Boulder
CS Endowed Founder's Fellowship (2022-2023); Bell Family Endowed CS Fellowship (2023-2024)
Previously: Research Science Intern @ Stanford Research Institute (SRI) International | Applied Science Intern @ Amazon Science | Sr. Data Scientist @ MakeMyTrip.com

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ckn [at] colorado.edu

Hi there, thanks for stopping by! đź‘‹

I am currently pursuing a Ph.D. in Computer Science at CU Boulder advised by Dr. Sriram Sankaranarayanan as part of the Programming Languages and Verification (CUPLV) lab.

My research interests are in the intersection of Theoretical Machine Learning and Dynamical Systems. I am generally fascinated about building models that can learn complex dynamical systems using machine learning or deep learning techniques. Currently, one of my main goals is to get models to learn physical systems governed by ODEs such as Damped Oscillator, Pendulum, Lotka-Volterra on a small scale.

During my Master’s thesis, I worked on developing a dataset, and benchmarking current SOTA models in salient object detection (SOD) especially for people who are visually impaired. Advised by Dr. Danna Gurari.

Prior to my master’s, I worked close to 4 years in the industry, where I developed products in the domain of algorithms, computer vision, and reinforcement learning. I recieved my undergraduate degree in Computer Science from RV College of Engineering, Bangalore.

In my spare time, I love to road bike, hike (Strava link below), and play guitar! I am originally from Bengaluru, Karnataka, India, currently living in Boulder, Colorado, USA.

Checkout my PhD geneology tree here.

news

Jun 1, 2024 Will be starting my internship at SRI International, Boulder! Working with Susmit Jha of CSL @ SRI
Dec 15, 2023 Our paper “Salient Object Detection for Images Taken by People With Vision Impairments” has been accepted to Winter Conference on Applications of Computer Vision (WACV) 2024
May 1, 2023 Will be starting my internship at Amazon Science, Seattle!